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  • yunchao wang,
  • shurong shu,
  • siyi huang,
  • yun liu
yunchao wang
Jimei University
Author Profile
shurong shu
Jimei University
Author Profile
siyi huang
Jimei University

Corresponding Author:[email protected]

Author Profile
yun liu
Jimei University
Author Profile


The tire lateral force control is crucial to vehicle lateral stability. Vehicle side slip and out of control can be prevented effectively by observing accurately the lateral force. Thus, a novel hyperbolic tangent sliding mode observation algorithm (NTSMO) is proposed. The algorithm adopts the longitudinal tire force error as feedback considering vehicle parameter uncertainties and without a complex tire model. First, the on-line verification of the algorithm was carried out by dSPACE to using the experimental data of the real vehicle linear acceleration and deceleration conditions, and comparison of experimental output with different observation algorithms. Furtherly, the simulation under emergency obstacle avoidance conditions and the double-line shifting conditions were conducted to verify the accuracy of the algorithm respectively. Simulation results show that the percentage errors between the tire lateral forces from the proposed NTSMO and the actual data are less than 5.35%, and the prediction accuracy of the NTSMO by 38.78% is higher than that of the sliding mode observation(SMO), which indicates that the NTSMO is superior to the SMO.
03 Dec 2022Submitted to The Journal of Engineering
04 Dec 2022Submission Checks Completed
04 Dec 2022Assigned to Editor
05 Dec 2022Reviewer(s) Assigned
24 Dec 2022Review(s) Completed, Editorial Evaluation Pending
01 Jan 2023Editorial Decision: Revise Major
28 Feb 20231st Revision Received
04 Mar 2023Submission Checks Completed
04 Mar 2023Assigned to Editor
04 Mar 2023Reviewer(s) Assigned
06 Mar 2023Review(s) Completed, Editorial Evaluation Pending
07 Mar 2023Editorial Decision: Revise Major
31 Mar 20232nd Revision Received
03 Apr 2023Assigned to Editor
03 Apr 2023Submission Checks Completed
04 Apr 2023Reviewer(s) Assigned
05 Apr 2023Review(s) Completed, Editorial Evaluation Pending
08 Apr 2023Editorial Decision: Revise Minor
13 Apr 20233rd Revision Received
13 Apr 2023Assigned to Editor
13 Apr 2023Submission Checks Completed
13 Apr 2023Reviewer(s) Assigned
14 Apr 2023Review(s) Completed, Editorial Evaluation Pending
14 Apr 2023Editorial Decision: Revise Minor
25 Apr 20234th Revision Received
26 Apr 2023Submission Checks Completed
26 Apr 2023Assigned to Editor
26 Apr 2023Reviewer(s) Assigned
26 Apr 2023Review(s) Completed, Editorial Evaluation Pending
30 Apr 2023Editorial Decision: Accept